# camelot **Repository Path**: CoderWanFeng/camelot ## Basic Information - **Project Name**: camelot - **Description**: PDF提取表格,来自GitHub - **Primary Language**: Python - **License**: MIT - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 1 - **Forks**: 0 - **Created**: 2022-10-16 - **Last Updated**: 2023-11-19 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README

# Camelot: PDF Table Extraction for Humans [![tests](https://github.com/camelot-dev/camelot/actions/workflows/tests.yml/badge.svg)](https://github.com/camelot-dev/camelot/actions/workflows/tests.yml) [![Documentation Status](https://readthedocs.org/projects/camelot-py/badge/?version=master)](https://camelot-py.readthedocs.io/en/master/) [![codecov.io](https://codecov.io/github/camelot-dev/camelot/badge.svg?branch=master&service=github)](https://codecov.io/github/camelot-dev/camelot?branch=master) [![image](https://img.shields.io/pypi/v/camelot-py.svg)](https://pypi.org/project/camelot-py/) [![image](https://img.shields.io/pypi/l/camelot-py.svg)](https://pypi.org/project/camelot-py/) [![image](https://img.shields.io/pypi/pyversions/camelot-py.svg)](https://pypi.org/project/camelot-py/) [![Gitter chat](https://badges.gitter.im/camelot-dev/Lobby.png)](https://gitter.im/camelot-dev/Lobby) [![image](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/ambv/black) **Camelot** is a Python library that can help you extract tables from PDFs! **Note:** You can also check out [Excalibur](https://github.com/camelot-dev/excalibur), the web interface to Camelot! --- **Here's how you can extract tables from PDFs.** You can check out the PDF used in this example [here](https://github.com/camelot-dev/camelot/blob/master/docs/_static/pdf/foo.pdf).
>>> import camelot
>>> tables = camelot.read_pdf('foo.pdf')
>>> tables
<TableList n=1>
>>> tables.export('foo.csv', f='csv', compress=True) # json, excel, html, markdown, sqlite
>>> tables[0]
<Table shape=(7, 7)>
>>> tables[0].parsing_report
{
    'accuracy': 99.02,
    'whitespace': 12.24,
    'order': 1,
    'page': 1
}
>>> tables[0].to_csv('foo.csv') # to_json, to_excel, to_html, to_markdown, to_sqlite
>>> tables[0].df # get a pandas DataFrame!
| Cycle Name | KI (1/km) | Distance (mi) | Percent Fuel Savings | | | | |------------|-----------|---------------|----------------------|-----------------|-----------------|----------------| | | | | Improved Speed | Decreased Accel | Eliminate Stops | Decreased Idle | | 2012_2 | 3.30 | 1.3 | 5.9% | 9.5% | 29.2% | 17.4% | | 2145_1 | 0.68 | 11.2 | 2.4% | 0.1% | 9.5% | 2.7% | | 4234_1 | 0.59 | 58.7 | 8.5% | 1.3% | 8.5% | 3.3% | | 2032_2 | 0.17 | 57.8 | 21.7% | 0.3% | 2.7% | 1.2% | | 4171_1 | 0.07 | 173.9 | 58.1% | 1.6% | 2.1% | 0.5% | Camelot also comes packaged with a [command-line interface](https://camelot-py.readthedocs.io/en/master/user/cli.html)! **Note:** Camelot only works with text-based PDFs and not scanned documents. (As Tabula [explains](https://github.com/tabulapdf/tabula#why-tabula), "If you can click and drag to select text in your table in a PDF viewer, then your PDF is text-based".) You can check out some frequently asked questions [here](https://camelot-py.readthedocs.io/en/master/user/faq.html). ## Why Camelot? - **Configurability**: Camelot gives you control over the table extraction process with [tweakable settings](https://camelot-py.readthedocs.io/en/master/user/advanced.html). - **Metrics**: You can discard bad tables based on metrics like accuracy and whitespace, without having to manually look at each table. - **Output**: Each table is extracted into a **pandas DataFrame**, which seamlessly integrates into [ETL and data analysis workflows](https://gist.github.com/vinayak-mehta/e5949f7c2410a0e12f25d3682dc9e873). You can also export tables to multiple formats, which include CSV, JSON, Excel, HTML, Markdown, and Sqlite. See [comparison with similar libraries and tools](https://github.com/camelot-dev/camelot/wiki/Comparison-with-other-PDF-Table-Extraction-libraries-and-tools). ## Support the development If Camelot has helped you, please consider supporting its development with a one-time or monthly donation [on OpenCollective](https://opencollective.com/camelot). ## Installation ### Using conda The easiest way to install Camelot is with [conda](https://conda.io/docs/), which is a package manager and environment management system for the [Anaconda](http://docs.continuum.io/anaconda/) distribution.
$ conda install -c conda-forge camelot-py
### Using pip After [installing the dependencies](https://camelot-py.readthedocs.io/en/master/user/install-deps.html) ([tk](https://packages.ubuntu.com/bionic/python/python-tk) and [ghostscript](https://www.ghostscript.com/)), you can also just use pip to install Camelot:
$ pip install "camelot-py[base]"
### From the source code After [installing the dependencies](https://camelot-py.readthedocs.io/en/master/user/install.html#using-pip), clone the repo using:
$ git clone https://www.github.com/camelot-dev/camelot
and install Camelot using pip:
$ cd camelot
$ pip install ".[base]"
## Documentation The documentation is available at [http://camelot-py.readthedocs.io/](http://camelot-py.readthedocs.io/). ## Wrappers - [camelot-php](https://github.com/randomstate/camelot-php) provides a [PHP](https://www.php.net/) wrapper on Camelot. ## Contributing The [Contributor's Guide](https://camelot-py.readthedocs.io/en/master/dev/contributing.html) has detailed information about contributing issues, documentation, code, and tests. ## Versioning Camelot uses [Semantic Versioning](https://semver.org/). For the available versions, see the tags on this repository. For the changelog, you can check out [HISTORY.md](https://github.com/camelot-dev/camelot/blob/master/HISTORY.md). ## License This project is licensed under the MIT License, see the [LICENSE](https://github.com/camelot-dev/camelot/blob/master/LICENSE) file for details.